Presentation of a Wavelet-Based Harmonic Model for Tidal Level Forecasting at Sabah and Sarawak

• Autorzy: Abubakar Auwal Garba , Mahmud Mohd Razali , Tang Kelvin Kang Wee , Husaaini Alhaji

Identyfikatory

DOI

10.7494/geom.2020.14.4.5

• Języki publikacji: EN

Abstrakty

EN

The world’s tides are a result of the combined forces of celestial forces and centrifugal force exerted by the Earth Moon and the Sun acting on the water body, earth tides and the atmospheric tides. Harmonic analysis is the most popular and widely accepted method used for the processing and expression of tidal behaviour as well as its characteristics. Despite its strengths, harmonic analysis has a few drawbacks when short data are involved for long term prediction. However, to enhance the accuracy of the popular methodology of harmonic analysis (HA), this study presents a wavelet based harmonic model for tidal analysis and prediction. Six months of water level heights at four tide gauge stations in Sabah and Sarawak of Malaysia were employed. The results obtained agrees with the original data when a comparison was made. The root mean square error (RMSE) and Pearson correlation coefficient (r) are the statistical index tools applied to test the functioning of the model. The residual error is the deviation between the original data and the predicted data which was also computed in this study. The new wavelet based harmonic model improves the accuracy of prediction. Moreover, the model is efficient and feasible for tidal analysis and prediction.

Słowa kluczowe

EN

harmonic analysis; harmonic constituents; sea water level; tidal prediction; wavelet-based harmonic

• Wydawca: AGH University of Science and Technology Press
• Czasopismo: Geomatics and Environmental Engineering
• Rocznik: 2020
• Tom: Vol. 14, no. 4
• Strony: 5--23
• Opis fizyczny: Bibliogr. 22 poz., rys., tab., wykr.

Twórcy

autor

Abubakar Auwal Garba

• Universiti Teknologi Malaysia, Faculty of Built Environment and Surveying, Geo-coastal Research Unit, Malaysia

autor

Mahmud Mohd Razali

• Universiti Teknologi Malaysia, Faculty of Built Environment
• Surveying, Geo-coastal Research Unit, Malaysia

autor

Tang Kelvin Kang Wee

• Universiti Teknologi Malaysia, Faculty of Built Environment and Surveying, Geo-coastal Research Unit, Malaysia

autor

Husaaini Alhaji

• Universiti Teknologi Malaysia, Faculty of Built Environment and Surveying, Geo-coastal Research Unit, Malaysia

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).